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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Hierarchical graph representation learning for the prediction of drug-target binding affinity
Zhaoyang Chu, Feng Huang, Haitao Fu, et al.
Information Sciences (2022) Vol. 613, pp. 507-523
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Current and future directions in network biology
Marinka Žitnik, Michelle M. Li, A. V. Wells, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 19
Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction
Huang Shu-han, Minhui Wang, Xiao Zheng, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2416-2427
Closed Access | Times Cited: 8
Semi-supervised heterogeneous graph contrastive learning for drug–target interaction prediction
Kainan Yao, Xiaowen Wang, Wannian Li, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107199-107199
Open Access | Times Cited: 21
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks
Congjing Wang, Yifei Wang, Pengju Ding, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107944-107944
Closed Access | Times Cited: 8
Drug repositioning based on tripartite cross-network embedding and graph convolutional network
Pan Zeng, Bofei Zhang, Aohang Liu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124152-124152
Closed Access | Times Cited: 8
MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug–Target Binding Affinity Prediction
Shudong Wang, X. Song, Yuanyuan Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 8326-8326
Open Access | Times Cited: 13
A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning
Xin Zeng, Shujuan Li, Shuang‐Qing Lv, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 5
Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks
Menglu Li, Zhiwei Wang, L. Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4373-4381
Closed Access | Times Cited: 5
HiSIF-DTA: A Hierarchical Semantic Information Fusion Framework for Drug-Target Affinity Prediction
Xiangpeng Bi, Shugang Zhang, Wenjian Ma, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 29, Iss. 3, pp. 1579-1590
Closed Access | Times Cited: 11
Drug-target binding affinity prediction based on power graph and word2vec
Jing Hu, Shuo Hu, Minghao Xia, et al.
BMC Medical Genomics (2025) Vol. 18, Iss. S1
Open Access
Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism
Shao-Zhen Hu, Jing Hu, Xiaolong Zhang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0315718-e0315718
Open Access
JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations
Zhenquan Shi, Wengjian Zhang, Jiashuang Huang, et al.
Information Sciences (2025), pp. 122011-122011
Closed Access
HSSPPI: hierarchical and spatial-sequential modeling for PPIs prediction
Yuguang Li, Zhen Tian, Xiaofei Nan, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
MLC-DTA: Drug-Target Affinity Prediction Based on Multi-Level Contrastive Learning and Equivariant Graph Neural Networks
Mengxin Zheng, Guicong Sun, Yongxian Fan
Neurocomputing (2025), pp. 130052-130052
Closed Access
Molecular docking–QSAR–Kronecker-regularized least squares-based multiple machine learning for assessment and prediction of PFAS–protein binding interactions
Lihui Zhao, Zixuan Zhang, Hee King SU, et al.
Journal of Hazardous Materials (2025), pp. 138069-138069
Closed Access
Dynamic Prediction of Drug–Target Interactions via Cross-Modal Feature Mapping with Learnable Association Information
Zhi Qiang Wei, Zhenyu Wang, Chang Tang
Journal of Chemical Information and Modeling (2025)
Closed Access
MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA–Disease Association
Chen Yang, Zhen Wang, Shanwen Zhang, et al.
Molecules (2023) Vol. 29, Iss. 1, pp. 230-230
Open Access | Times Cited: 9
NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network
Junyue Cao, Qingfeng Chen, Junlai Qiu, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 7
Open Access | Times Cited: 2
PED: a novel predictor-encoder-decoder model for Alzheimer drug molecular generation
Dayan Liu, Tao Song, Kang Na, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
Prediction of drug–target binding affinity based on multi-scale feature fusion
Hui Yu, Wenxin Xu, Tan Tian Swee, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108699-108699
Closed Access | Times Cited: 2
A Deep Neural Network-Based Co-Coding Method to Predict Drug-Protein Interactions by Analyzing the Feature Consistency Between Drugs and Proteins
Chang Sun, Rong Tang, Jipeng Huang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 3, pp. 2200-2209
Closed Access | Times Cited: 6
MPFFPSDC: A multi-pooling feature fusion model for predicting synergistic drug combinations
Xin Bao, Jianqiang Sun, Ming Yi, et al.
Methods (2023) Vol. 217, pp. 1-9
Closed Access | Times Cited: 6
Cross-view contrastive representation learning approach to predicting DTIs via integrating multi-source information
Chengxin He, Yuening Qu, Jin Yin, et al.
Methods (2023) Vol. 218, pp. 176-188
Closed Access | Times Cited: 6
THGNCDA: circRNA–disease association prediction based on triple heterogeneous graph network
Yuwei Guo, Ming Yi
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 384-394
Closed Access | Times Cited: 5
Structure-Aware Graph Attention Diffusion Network for Protein–Ligand Binding Affinity Prediction
Li Mei, Ye Cao, Xiaoguang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18370-18380
Closed Access | Times Cited: 4
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